Products don't design and build themselves. In this course, students learn how to staff, plan and execute a project to build a product. We explore sensors, which produce tremendous volumes of data, and then storage devices and file systems for storing big data. Finally, we study machine learning and big data analytics.
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Project Planning and Machine Learning
This course is part of Developing Industrial Internet of Things Specialization
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Instructor: David Sluiter
9,586 already enrolled
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(114 reviews)
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What you'll learn
Create a plan to staff and execute a project to a schedule.
Create and calibrate sensor systems. Describe how hard drives and solid state drives operate. Describe how file systems for big data work.
Describe the basic operation of today's machine learning algorithms.
Describe the basics of big data analytics.
Skills you'll gain
Details to know
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4 assignments
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There are 4 modules in this course
In this module I share with you my experience in product planning, staffing and execution. You will perform a product tear down, write a paper about your tear down and build a bill of materials (BOM) for that product.
What's included
12 videos2 readings1 assignment1 peer review1 discussion prompt
In this module you will learn about sensors, and in this case, a temperature sensor. You will learn how to calibrate and then validate that a temperature sensor is producing accurate results. We will study how data is stored on hard drives and solid state drives. We will take a brief look at file systems used to store large data sets.
What's included
16 videos1 assignment
In this module we look at machine learning (ML), what it is and how it works. We take a look at a couple supervised learning algorithms and 1 unsupervised learning algorithm. No coding is required of you. Instead I provide working source code to you so you can play around with these algorithms. I wrap up by providing some examples of how ML can be used in the IIoT space.
What's included
22 videos1 assignment
In this module you will learn about big data and why we want to study it. You will learn about issues that can arise with a data set and the importance of properly preparing data prior to a ML exercise.
What's included
19 videos1 assignment
Instructor
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Offered by
Recommended if you're interested in Design and Product
Amazon Web Services
University of Colorado Boulder
University of Colorado Boulder
University of Colorado Boulder
Build toward a degree
This course is part of the following degree program(s) offered by University of Colorado Boulder. If you are admitted and enroll, your completed coursework may count toward your degree learning and your progress can transfer with you.¹
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Learner reviews
114 reviews
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Reviewed on May 28, 2022
Awsomw Materials and Explanations. Dedicatedly you ve to preparare if you wants to improvizing yourself. Thanks by Sam.
Reviewed on Jun 2, 2020
It was a good course to get a background and basic clearing while developing IIoT projects...
Reviewed on Apr 1, 2019
quizzes can be tougher.great course!100% history oriented.
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